On the Interactive Communication Cost of the Distributed Nearest Lattice Point Problem

01/30/2018
by   V. A. Vaishampayan, et al.
0

We consider the problem of distributed computation of the nearest lattice point for a two dimensional lattice. An interactive two-party model of communication is considered. Algorithms with bounded, as well as unbounded, number of rounds of communication are considered. For the algorithm with a bounded number of rounds, expressions are derived for the error probability as a function of the total number of communicated bits. We observe that the error exponent depends on the lattice. With an infinite number of allowed communication rounds, the average cost of achieving zero error probability is shown to be finite.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/29/2018

Communication-Efficient Search for an Approximate Closest Lattice Point

We consider the problem of finding the closest lattice point to a vector...
research
07/01/2021

A Few Interactions Improve Distributed Nonparametric Estimation, Optimally

Consider the problem of nonparametric estimation of an unknown β-Hölder ...
research
06/15/2018

Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver

We propose a novel distributed iterative linear inverse solver method. O...
research
08/30/2020

On Communication for Distributed Babai Point Computation

We present a communication-efficient distributed protocol for computing ...
research
07/24/2023

Lattice Linearity in Assembling Myopic Robots on an Infinite Triangular Grid

In this paper, we study the problem of gathering distance-1 myopic robot...
research
01/31/2022

Fast Distributed k-Means with a Small Number of Rounds

We propose a new algorithm for k-means clustering in a distributed setti...
research
05/23/2021

From Chaos to Pseudo-Randomness: A Case Study on the 2D Coupled Map Lattice

Applying chaos theory for secure digital communications is promising and...

Please sign up or login with your details

Forgot password? Click here to reset